<!-- HTML header for doxygen 1.8.9.1-->
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.8.6"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines -->
<title>Compute Library: src/core/CL/cl_kernels/convolution_layer.cl Source File</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="resize.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<script type="text/javascript">
  $(document).ready(initResizable);
  $(window).load(resizeHeight);
</script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/javascript">
  $(document).ready(function() { searchBox.OnSelectItem(0); });
</script>
<script type="text/x-mathjax-config">
  MathJax.Hub.Config({
    extensions: ["tex2jax.js"],
    jax: ["input/TeX","output/HTML-CSS"],
});
</script><script src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
 <tbody>
 <tr style="height: 56px;">
  <td style="padding-left: 0.5em;">
   <div id="projectname">Compute Library
   &#160;<span id="projectnumber">17.10</span>
   </div>
  </td>
 </tr>
 </tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.6 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
  <div id="navrow1" class="tabs">
    <ul class="tablist">
      <li><a href="index.xhtml"><span>Main&#160;Page</span></a></li>
      <li><a href="pages.xhtml"><span>Related&#160;Pages</span></a></li>
      <li><a href="namespaces.xhtml"><span>Namespaces</span></a></li>
      <li><a href="annotated.xhtml"><span>Data&#160;Structures</span></a></li>
      <li class="current"><a href="files.xhtml"><span>Files</span></a></li>
      <li>
        <div id="MSearchBox" class="MSearchBoxInactive">
        <span class="left">
          <img id="MSearchSelect" src="search/mag_sel.png"
               onmouseover="return searchBox.OnSearchSelectShow()"
               onmouseout="return searchBox.OnSearchSelectHide()"
               alt=""/>
          <input type="text" id="MSearchField" value="Search" accesskey="S"
               onfocus="searchBox.OnSearchFieldFocus(true)" 
               onblur="searchBox.OnSearchFieldFocus(false)" 
               onkeyup="searchBox.OnSearchFieldChange(event)"/>
          </span><span class="right">
            <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
          </span>
        </div>
      </li>
    </ul>
  </div>
  <div id="navrow2" class="tabs2">
    <ul class="tablist">
      <li><a href="files.xhtml"><span>File&#160;List</span></a></li>
      <li><a href="globals.xhtml"><span>Globals</span></a></li>
    </ul>
  </div>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
  <div id="nav-tree">
    <div id="nav-tree-contents">
      <div id="nav-sync" class="sync"></div>
    </div>
  </div>
  <div id="splitbar" style="-moz-user-select:none;" 
       class="ui-resizable-handle">
  </div>
</div>
<script type="text/javascript">
$(document).ready(function(){initNavTree('convolution__layer_8cl_source.xhtml','');});
</script>
<div id="doc-content">
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
     onmouseover="return searchBox.OnSearchSelectShow()"
     onmouseout="return searchBox.OnSearchSelectHide()"
     onkeydown="return searchBox.OnSearchSelectKey(event)">
<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Typedefs</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark">&#160;</span>Friends</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark">&#160;</span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(11)"><span class="SelectionMark">&#160;</span>Pages</a></div>

<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0" 
        name="MSearchResults" id="MSearchResults">
</iframe>
</div>

<div class="header">
  <div class="headertitle">
<div class="title">convolution_layer.cl</div>  </div>
</div><!--header-->
<div class="contents">
<a href="convolution__layer_8cl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="helpers_8h.xhtml">helpers.h</a>&quot;</span></div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#if defined(FIXED_POINT_POSITION)</span></div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#include &quot;<a class="code" href="fixed__point_8h.xhtml">fixed_point.h</a>&quot;</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#endif // FIXED_POINT_POSITION</span></div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="convolution__layer_8cl.xhtml#ab6358b28d1e7bc946950075d94412013">   57</a></span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="convolution__layer_8cl.xhtml#ab6358b28d1e7bc946950075d94412013">reshape_to_columns</a>(</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <a class="code" href="helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(dst),</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;#ifdef HAS_BIAS</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(bias),</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;#endif <span class="comment">/* HAS_BIAS */</span></div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    uint width, uint height, uint depth, uint total_filters)</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;{</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src            = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <span class="keywordtype">bool</span>     is_last_thread = (get_global_id(0) == (get_global_size(0) - 1) &amp;&amp; get_global_id(1) == (get_global_size(1) - 1) &amp;&amp; get_global_id(2) == (get_global_size(2) - 1));</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    __global uchar *tmp_src_ptr = src.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>;</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    __global uchar *tmp_dst_ptr = dst_ptr + dst_offset_first_element_in_bytes + get_global_id(0) * dst_stride_y + get_global_id(1) * width * dst_stride_y + get_global_id(</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;                                      2) * width * height * dst_stride_y;</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;<span class="preprocessor"></span>    __global uchar *tmp_bias_ptr = bias_ptr + bias_offset_first_element_in_bytes;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* HAS_BIAS */</span><span class="preprocessor"></span></div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <span class="keywordflow">if</span>(is_last_thread)</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    {</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        <span class="keywordflow">for</span>(uint i = 0; i &lt; total_filters; ++i)</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        {</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;            *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_dst_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_src_ptr);</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="preprocessor"></span>            *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(tmp_dst_ptr + dst_stride_y)) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(tmp_bias_ptr));</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;            tmp_bias_ptr += bias_stride_x;</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* HAS_BIAS */</span><span class="preprocessor"></span></div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="preprocessor"></span>            tmp_src_ptr += depth * src_stride_z;</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;            tmp_dst_ptr += dst_stride_x;</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        }</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    }</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="keywordflow">else</span></div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    {</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        <span class="keywordflow">for</span>(uint i = 0; i &lt; total_filters; ++i)</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;        {</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;            *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_dst_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_src_ptr);</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;            tmp_src_ptr += depth * src_stride_z;</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;            tmp_dst_ptr += dst_stride_x;</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        }</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    }</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;}</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="preprocessor">#if defined(CONVOLVED_WIDTH) &amp;&amp; defined(STRIDE_X) &amp;&amp; defined(STRIDE_Y) &amp;&amp; defined(PAD_X) &amp;&amp; defined(PAD_Y) &amp;&amp; defined(KERNEL_WIDTH) &amp;&amp; defined(KERNEL_HEIGHT) &amp;&amp; defined(KERNEL_DEPTH) &amp;&amp; defined(SRC_WIDTH) &amp;&amp; defined(SRC_HEIGHT)</span></div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;__kernel <span class="keywordtype">void</span> im2col_generic(</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <a class="code" href="helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(dst),</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    uint filter_depth,</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    uint src_stride_w,</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    uint dst_stride_w)</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;{</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> xc    = get_global_id(0);                <span class="comment">// x coordinate in the convolved tensor</span></div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> yc    = get_global_id(1);                <span class="comment">// y coordinate in the convolved tensor</span></div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> ch    = get_global_id(2) % filter_depth; <span class="comment">// input feature map</span></div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / filter_depth; <span class="comment">// the batch</span></div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    <span class="comment">// Calculate input indeces</span></div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> xi = xc * STRIDE_X - PAD_X;</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> yi = yc * STRIDE_Y - PAD_Y;</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    <span class="comment">// Calculate output indeces</span></div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> xo = ch * KERNEL_WIDTH * KERNEL_HEIGHT;</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> yo = xc + yc * CONVOLVED_WIDTH; <span class="comment">// Index of the convolution</span></div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;    __global uchar *input_ptr      = src_ptr + src_offset_first_element_in_bytes + ch * src_stride_z + batch * src_stride_w;</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    __global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *output_ptr = ((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_ptr + dst_offset_first_element_in_bytes + yo * dst_stride_y + batch * dst_stride_w)) + xo;</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    <span class="comment">// Linearize convolution elements</span></div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = yi, y_e = yi + KERNEL_HEIGHT; y &lt; y_e; ++y)</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    {</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = xi, x_e = xi + KERNEL_WIDTH; x &lt; x_e; ++x, ++output_ptr)</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        {</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;<span class="preprocessor">#if PAD_X == 0 &amp;&amp; PAD_Y == 0</span></div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;<span class="preprocessor"></span>            *output_ptr = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input_ptr + x * src_stride_x + y * src_stride_y));</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;<span class="preprocessor">#else  // PAD_X == 0 &amp;&amp; PAD_Y == 0</span></div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;<span class="preprocessor"></span>            <span class="keywordflow">if</span>(x &lt; 0 || x &gt;= SRC_WIDTH || y &lt; 0 || y &gt;= SRC_HEIGHT)</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;            {</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;                *output_ptr = 0;</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;            }</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;            <span class="keywordflow">else</span></div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;            {</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;                *output_ptr = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input_ptr + x * src_stride_x + y * src_stride_y));</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;            }</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;<span class="preprocessor">#endif // PAD_X == 0 &amp;&amp; PAD_Y == 0</span></div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;<span class="preprocessor"></span>        }</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    }</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;<span class="preprocessor"></span>    <span class="keywordflow">if</span>(ch == (KERNEL_DEPTH - 1))</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    {</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;<span class="preprocessor">#ifdef FIXED_POINT_POSITION</span></div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;<span class="preprocessor"></span>        *output_ptr = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)(1 &lt;&lt; FIXED_POINT_POSITION);</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;<span class="preprocessor">#else  // FIXED_POINT_POSITION</span></div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;<span class="preprocessor"></span>        *output_ptr       = 1.0f;</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;<span class="preprocessor">#endif // FIXED_POINT_POSITION</span></div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;<span class="preprocessor"></span>    }</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;<span class="preprocessor">#endif // HAS_BIAS</span></div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;<span class="preprocessor"></span>}</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;__kernel <span class="keywordtype">void</span> im2col_kernel3x3_padx0_pady0(</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <a class="code" href="helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(dst),</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    uint filter_depth,</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;    uint src_stride_w,</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    uint dst_stride_w)</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;{</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> xc    = get_global_id(0);                <span class="comment">// x coordinate in the convolved tensor</span></div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> yc    = get_global_id(1);                <span class="comment">// y coordinate in the convolved tensor</span></div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> ch    = get_global_id(2) % filter_depth; <span class="comment">// input feature map</span></div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> batch = get_global_id(2) / filter_depth; <span class="comment">// the batch</span></div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    <span class="comment">// Calculate input indeces</span></div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> xi = xc * STRIDE_X;</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> yi = yc * STRIDE_Y;</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    <span class="comment">// Calculate output indeces</span></div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> xo = ch * KERNEL_WIDTH * KERNEL_HEIGHT;</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> yo = xc + yc * CONVOLVED_WIDTH; <span class="comment">// Index of the convolution</span></div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    <span class="comment">// Get input and output address</span></div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + xi * src_stride_x + yi * src_stride_y + ch * src_stride_z + batch * src_stride_w;</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    __global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *output_ptr = (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst_ptr + dst_offset_first_element_in_bytes + yo * dst_stride_y + batch * dst_stride_w) + xo;</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 3)</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    row0 = vload3(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input_ptr + 0 * src_stride_y));</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 3)</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;    row1 = vload3(0, (__global DATA_TYPE *)(input_ptr + 1 * src_stride_y));</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 3)</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    row2 = vload3(0, (__global DATA_TYPE *)(input_ptr + 2 * src_stride_y));</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    vstore8((<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(DATA_TYPE, 8))(row0.s012, row1.s012, row2.s01), 0, output_ptr);</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    *(output_ptr + 8) = row2.s2;</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;<span class="preprocessor"></span>    <span class="keywordflow">if</span>(ch == (KERNEL_DEPTH - 1))</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    {</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;<span class="preprocessor">#ifdef FIXED_POINT_POSITION</span></div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;<span class="preprocessor"></span>        *(output_ptr + 9) = (DATA_TYPE)(1 &lt;&lt; FIXED_POINT_POSITION);</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;<span class="preprocessor">#else  // FIXED_POINT_POSITION</span></div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;<span class="preprocessor"></span>        *(output_ptr + 9) = 1.0f;</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;<span class="preprocessor">#endif // FIXED_POINT_POSITION</span></div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;<span class="preprocessor"></span>    }</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;<span class="preprocessor">#endif // HAS_BIAS</span></div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;<span class="preprocessor"></span>}</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;<span class="preprocessor">#endif //defined(CONVOLVED_WIDTH) &amp;&amp; defined(STRIDE_X) &amp;&amp; defined(STRIDE_Y) &amp;&amp; defined(PAD_X) &amp;&amp; defined(PAD_Y) &amp;&amp; defined(KERNEL_WIDTH) &amp;&amp; defined(KERNEL_HEIGHT) &amp;&amp; defined(KERNEL_DEPTH) &amp;&amp; defined(SRC_WIDTH) &amp;&amp; defined(SRC_HEIGHT)</span></div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;<span class="preprocessor">#if defined(WIDTH_OUTPUT)</span></div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;__kernel <span class="keywordtype">void</span> col2im(</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    uint dst_stride_w)</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;{</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> dst = <a class="code" href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(dst);</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;    <span class="comment">// Compute output offset</span></div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    <span class="keywordtype">int</span> idx = get_global_id(0) * dst.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a> + (get_global_id(1) / WIDTH_OUTPUT) * dst_stride_y + (get_global_id(1) % WIDTH_OUTPUT) * dst_stride_x + get_global_id(2) * dst_stride_w;</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;    <span class="comment">// Store value</span></div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;    *((__global DATA_TYPE *)(dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + idx)) = *((__global DATA_TYPE *)(src.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;}</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;<span class="preprocessor">#endif // defined(WIDTH_OUTPUT)</span></div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00309"></a><span class="lineno"><a class="line" href="convolution__layer_8cl.xhtml#a6f31f2c8d606e1b57d9bdfacd416024c">  309</a></span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="convolution__layer_8cl.xhtml#a6f31f2c8d606e1b57d9bdfacd416024c">im2col_reduced</a>(</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;    <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(dst),</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;    uint width, uint height)</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;{</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;    <span class="keyword">const</span> uint image_size = width * height;</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;    __global uchar *tmp_out_ptr = dst_ptr + dst_offset_first_element_in_bytes + (get_global_id(0) + get_global_id(1) * width + get_global_id(2) * image_size) * dst_stride_x;</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;    *((__global DATA_TYPE *)tmp_out_ptr) = *((__global DATA_TYPE *)src.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;<span class="preprocessor"></span>    <span class="comment">// If it is the last thread in the 3 dimensional workgroup</span></div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;    <span class="keywordflow">if</span>(get_global_id(0) == (get_global_size(0) - 1) &amp;&amp; get_global_id(1) == (get_global_size(1) - 1) &amp;&amp; get_global_id(2) == (get_global_size(2) - 1))</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;    {</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;        tmp_out_ptr += dst_stride_x;</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;<span class="preprocessor">#ifdef FIXED_POINT_POSITION</span></div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;<span class="preprocessor"></span>        *((__global DATA_TYPE *)tmp_out_ptr) = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)(1 &lt;&lt; FIXED_POINT_POSITION);</div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;<span class="preprocessor">#else  // FIXED_POINT_POSITION</span></div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;<span class="preprocessor"></span>        *((__global DATA_TYPE *)tmp_out_ptr) = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)1;</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;<span class="preprocessor">#endif // FIXED_POINT_POSITION</span></div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;<span class="preprocessor"></span>    }</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;<span class="preprocessor">#endif // HAS_BIAS</span></div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;<span class="preprocessor"></span>}</div>
<div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00111">helpers.h:111</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes) </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00149">helpers.h:149</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a22f42fcf2077d951271df83b55c1a71a"><div class="ttname"><a href="helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a></div><div class="ttdeci">#define IMAGE_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00060">helpers.h:60</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00143">helpers.h:143</a></div></div>
<div class="ttc" id="helpers_8h_xhtml"><div class="ttname"><a href="helpers_8h.xhtml">helpers.h</a></div></div>
<div class="ttc" id="fixed__point_8h_xhtml"><div class="ttname"><a href="fixed__point_8h.xhtml">fixed_point.h</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a40a6eb9f2a7712f08d6bb8ff6c9e6ca7"><div class="ttname"><a href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a></div><div class="ttdeci">#define VECTOR_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00054">helpers.h:54</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00068">helpers.h:68</a></div></div>
<div class="ttc" id="convolution__layer_8cl_xhtml_a6f31f2c8d606e1b57d9bdfacd416024c"><div class="ttname"><a href="convolution__layer_8cl.xhtml#a6f31f2c8d606e1b57d9bdfacd416024c">im2col_reduced</a></div><div class="ttdeci">__kernel void im2col_reduced(__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_offset_first_element_in_bytes, uint width, uint height)</div><div class="ttdoc">This kernel reshapes the tensor&#39;s low three dimensions to single row for GEMM operation. </div><div class="ttdef"><b>Definition:</b> <a href="convolution__layer_8cl_source.xhtml#l00309">convolution_layer.cl:309</a></div></div>
<div class="ttc" id="fixed__point_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="fixed__point_8h_source.xhtml#l00093">fixed_point.h:93</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00115">helpers.h:115</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00145">helpers.h:145</a></div></div>
<div class="ttc" id="convolution__layer_8cl_xhtml_ab6358b28d1e7bc946950075d94412013"><div class="ttname"><a href="convolution__layer_8cl.xhtml#ab6358b28d1e7bc946950075d94412013">reshape_to_columns</a></div><div class="ttdeci">__kernel void reshape_to_columns(__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_offset_first_element_in_bytes, __global uchar *bias_ptr, uint bias_stride_x, uint bias_step_x, uint bias_offset_first_element_in_bytes, uint width, uint height, uint depth, uint total_filters)</div><div class="ttdoc">This kernel reshapes the tensor&#39;s low three dimensions to single column. </div><div class="ttdef"><b>Definition:</b> <a href="convolution__layer_8cl_source.xhtml#l00057">convolution_layer.cl:57</a></div></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
  <ul>
    <li class="navelem"><a class="el" href="dir_55b5a5006e943fb664ff8cff3cfe7768.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_f6c3ae42d7e27145d0a3c3e38ca1c000.xhtml">core</a></li><li class="navelem"><a class="el" href="dir_1b7ae9123c88e650426d50d95c19d414.xhtml">CL</a></li><li class="navelem"><a class="el" href="dir_b7c3d80b0dadb2139bc73b7161751c12.xhtml">cl_kernels</a></li><li class="navelem"><a class="el" href="convolution__layer_8cl.xhtml">convolution_layer.cl</a></li>
    <li class="footer">Generated on Thu Oct 12 2017 14:26:33 for Compute Library by
    <a href="http://www.doxygen.org/index.html">
    <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 </li>
  </ul>
</div>
</body>
</html>
